Advanced Multi-Channel SAR Imaging - Measured Data Demonstration

Gebert N, De Almeida FQ, Krieger G (2009)

Publication Type: Conference contribution

Publication year: 2009

Series: International Radar Symposium (IRS) Proceedings

Pages Range: 525-529

Conference Proceedings Title: International Radar Symposium (IRS)



Synthetic Aperture Radar (SAR) is a well-established technique for remote sensing of the Earth. However, conventional SAR systems relying on only a single transmit and receive aperture are not capable of imaging a wide swath with high spatial resolution. Multi-channel SAR concepts, such as systems based on multiple receive apertures in azimuth, promise to overcome these restrictions, thus enabling high-resolution wide-swath imaging. Analysis revealed that these systems imperatively require sophisticated digital processing of the received signals in order to guarantee full performance independently of the spatial sample distribution imposed by the applied pulse repetition frequency (PRF). A suitable algorithm to cope with these challenges of multi-channel data is given by the {``}multi-channel reconstruction algorithm″, which demonstrated in comprehensive analysis and system design examples its potential for high perform-ance SAR imaging. In this context, various optimization strategies were investigated and aspects of operating multi-channel systems in burst modes such as ScanSAR or TOPS were discussed. Furthermore, a first proof-of-principle showed the algorithm′s applicability to measured multi-channel X-band data gathered by the German Aerospace Cen-ter′s (DLR) airborne F-SAR system. As a next step in the framework of multi-channel azimuth processing, this paper builds on the results recalled above and continues two paths. Firstly, focus is turned to further optimization of the proc-essing algorithm by investigating the classical Space-Time Adaptive Processing (STAP) applied to SAR. Secondly, attention is turned to the analysis of the measured multi-channel data by elaborating the impact and compensation of channel mismatch and by verifying the derived theory.

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Gebert, N., De Almeida, F.Q., & Krieger, G. (2009). Advanced Multi-Channel SAR Imaging - Measured Data Demonstration. In Ortun German Institute of Navigation - Deutsche Gesellschaft für (Eds.), International Radar Symposium (IRS) (pp. 525-529).


Gebert, Nicolas, Felipe Queiroz De Almeida, and Gerhard Krieger. "Advanced Multi-Channel SAR Imaging - Measured Data Demonstration." Proceedings of the International Radar Symposium (IRS) Ed. Ortun German Institute of Navigation - Deutsche Gesellschaft für, 2009. 525-529.

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